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The state of the art in tag ontologies: A semantic model for tagging and folksonomies (2008)
| Venue: | In Proceedings of the International Conference on Dublin Core and Metadata Applications |
| Citations: | 33 - 3 self |
BibTeX
@INPROCEEDINGS{Kim08thestate,
author = {Hak Lae Kim and Simon Scerri and John G. Breslin and Stefan Decker and Hong Gee Kim},
title = {The state of the art in tag ontologies: A semantic model for tagging and folksonomies},
booktitle = {In Proceedings of the International Conference on Dublin Core and Metadata Applications},
year = {2008}
}
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Abstract
There is a growing interest into how we represent and share tagging data in collaborative tagging systems. Conventional tags, meaning freely created tags that are not associated with a structured ontology, are not naturally suited for collaborative processes, due to linguistic and grammatical variations, as well as human typing errors. Additionally, tags reflect personal views of the world by individual users, and are not normalised for synonymy, morphology or any other mapping. Our view is that the conventional approach provides very limited semantic value for collaboration. Moreover, in cases where there is some semantic value, automatically sharing semantics via computer manipulations is extremely problematic. This paper explores these problems by discussing approaches for collaborative tagging activities at a semantic level, and presenting conceptual models for collaborative tagging activities and folksonomies. We present criteria for the comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.
Keyphrases
tag ontology semantic model collaborative tagging activity structured ontology individual user conventional approach semantic level semantic value conventional tag computer manipulation conceptual model personal view present criterion grammatical variation collaborative process limited semantic value
